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  1. 1
    Combining deep and handcrafted image features for MRI brain scan classification

    Combining deep and handcrafted image features for MRI brain scan classification by Hasan, Ali M., Jalab, Hamid A., Meziane, Farid, Kahtan, Hasan, Al-Ahmad, Ahmad Salah

    Published 2019
    “…In this paper, a deep learning feature extraction algorithm is proposed to extract the relevant features from MRI brain scans. …”
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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  4. 4
    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution

    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

    Published 2006
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  5. 5
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  6. 6
    Development and performance of modified clay nanoporous pipe for subsurface irrigation

    Development and performance of modified clay nanoporous pipe for subsurface irrigation by Abdullahi, Salisu

    Published 2021
    “…Moreover, the modified pipes have a high absorption capacity to that of clay pipes. …”
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  7. 7
    A New Hybrid Embedding Method in Iris Biometric System

    A New Hybrid Embedding Method in Iris Biometric System by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad, Jusoff, Kamaruzaman, Ahmad, Rabiah, Ayop, Zakiah, Anawar, Syarulnaziah, Shaaban, Azizah, Yusoff, Mariana

    Published 2013
    “…The system is developed using both eyes and each eye is enrolled with 10 snaps. …”
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  8. 8
    Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression

    Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression by Tan, Li Kuo, McLaughlin, Robert A., Lim, Einly, Abdul Aziz, Yang Faridah, Liew, Yih Miin

    Published 2018
    “…Fully automated LV segmentation might improve the efficiency and reproducibility of clinical assessment. Purpose: To develop and validate a fully automated neural network regression-based algorithm for segmentation of the LV in cardiac MRI, with full coverage from apex to base across all cardiac phases, utilizing both short axis (SA) and long axis (LA) scans. …”
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  9. 9
    Expert System with an Embedded Imaging Module for Diagnosing Lung Diseases

    Expert System with an Embedded Imaging Module for Diagnosing Lung Diseases by Devan, Kavitha Shaga

    Published 2006
    “…The goal of this module is to enhance the chest X-Ray images so that it can provide details similar to more expensive methods such as MRl and CT scan. A new algorithm which is a modified morphological grayscale top hat transform is introduced to increase the visibility of lung nodules in chest X-Rays. …”
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  10. 10
    A new hybrid embedding method in iris biometric system

    A new hybrid embedding method in iris biometric system by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad, Jusoff, Kamaruzaman, Ahmad, Rabiah, Ayop, Zakiah, Anawar, Syarulnaziah, Shaaban, Azizah, Yusoff, Mariana

    Published 2013
    “…The system is developed using both eyes and each eye is enrolled with 10 snaps. …”
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  11. 11
    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis

    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Saleh, Basma Jumaa, Omar, Zaid, As’ari, Muhammad Amir, Bhateja, Vikrant, Izhar, Lila Iznita

    Published 2025
    “…The SA-CS algorithm extends SA by preventing entrapment in local minimum and enhancing global exploration. …”
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  12. 12
    A lightweight and secure algorithm of elliptic curve cryptography scalar multiplication using Q-NAF method in Lopez-Dahab coordinate

    A lightweight and secure algorithm of elliptic curve cryptography scalar multiplication using Q-NAF method in Lopez-Dahab coordinate by Abdulraheem, Waleed Khalid Amin

    Published 2019
    “…By combining the proposed scalar arithmetic and the new point arithmetic 5P, a new scalar multiplication algorithm was developed. This scalar multiplication algorithm is named Q-NAF scalar multiplication for binary curve over Lopez-Dahab coordinates. …”
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  13. 13
    Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination

    Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination by Haspi Harun, Hanif

    Published 2021
    “…Different levels of IR algorithms were applied in routine CTPA and several modified tube potentials. …”
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  14. 14
    Numerical simulation and experimental verification on distortions induced by wire-arc additive manufacturing components and costing analysis / Keval Priapratama Prajadhiana

    Numerical simulation and experimental verification on distortions induced by wire-arc additive manufacturing components and costing analysis / Keval Priapratama Prajadhiana by Prajadhiana, Keval Priapratama

    Published 2024
    “…Once the substrate has been removed, the component distortion comparison is examined by means of modified substrate removal algorithm where the error percentage of the models ranges from 2.96% until 8.05%. …”
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  15. 15
    Zero distortion-based steganography for handwritten signature

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…This means that any changes on the cover media (c) could lead to the identification of the stego media (s), which contains the secret message (m). Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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  16. 16
    Moving camera automatic number plate recognition using neural network in android platform

    Moving camera automatic number plate recognition using neural network in android platform by Conny Liew

    Published 2019
    “…It is easy to localize and recognize the scanned car plate with fixed camera as the car plate position is almost static and can be estimated easily. …”
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  17. 17
    Lubricity effectiveness of bio-lubricant modified with multi-wall carbon nanotube and organic polymer

    Lubricity effectiveness of bio-lubricant modified with multi-wall carbon nanotube and organic polymer by Opia, Anthony Chukwunonso, Abdollah, Mohd Fadzli, Chinedu Mamah, Stanley Chinedu, Abdul Hamid, Mohd Kameil, Syahrullail, Samion, Ibrahim, Audu Ali, Johnson, Charles, Basiron, Juliana, Basiron, Juliana

    Published 2023
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  18. 18
    Synthesis of YBa₂Cu₄O8 superconductor and analysis of electronic properties in comparison to other YBCO family compounds

    Synthesis of YBa₂Cu₄O8 superconductor and analysis of electronic properties in comparison to other YBCO family compounds by Cheong, Choon Min

    Published 2020
    “…However, Ca2+ with less electronegative as compared with Y3+ modified the electronic properties of the region within the bilayers Cu-O2 plane. …”
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